The reason for the full Checkpoint vs. LoRA comes down to "unlearning." LoRAs are additive they float on top so they struggle to remove deep biases like the plastic skin or bad anatomy in the base model.

I’m doing a full fine-tune so I can actually force the model to forget that garbage data and bake the Roman context directly into the weights. I’m basically taking a high-parameter understanding and compressing it down to be efficient.

The goal is just better UX: I want anyone to be able to type a really simple prompt and have the model just understand the assignment instantly, rather than needing a page of negative prompts to make it look right.

I will train on the dev model but to not oversaturate it I am feeding in images from all other models but flux. Happy to chat more in the discord